The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Victor C. M. Leung - One of the best experts on this subject based on the ideXlab platform.

  • network coding based encryption System for advanced metering infrastructure
    International Conference on Computer Communications and Networks, 2013
    Co-Authors: Hasen Nicanfar, Amr Alasaad, Peyman Talebifard, Victor C. M. Leung
    Abstract:

    In a Smart Grid System, the metering data collected by Smart meters (SMs) and transferred via an Advanced Metering Infrastructure to the utility for billing purposes, and to the demand-response System to achieve cost effective resource allocation. The collected data at the SMs are sent to aggregators (AGRs), which in turn forward these data to a higher layer data collection System using secured communications. However, metering data are typically transferred between SMs and AGRs over wireless multi-hop communication networks. Due to the broadcast nature of wireless transmissions, the communications between a SM and AGR are susceptible to many security attacks. We argue that advanced network coding (NC) technology can be utilized to address this problem. We propose a novel System that supports data collection security at AGR by encrypting metering data transmitted between SMs and AGR using NC technology. Our innovative scheme eliminates the use of previously specified public key encryption System between SMs and AGR, which consequently makes our System very efficient. Analyses show that our proposed scheme enhances robustness and throughput of data routing in the wireless multi-hop network between SMs and AGR while maintaining a strong security.

  • multilayer consensus ecc based password authenticated key exchange mcepak protocol for Smart Grid System
    IEEE Transactions on Smart Grid, 2013
    Co-Authors: Hasen Nicanfar, Victor C. M. Leung
    Abstract:

    This paper aims at providing a key agreement protocol for Smart Grid to cope with access control of appliances/devices located inside a Home Area Network (HAN) by a set of controllers outside the HAN. The commands/packets initiated by the controllers in crisis cases should be delivered fast and immune from any interruption. The HAN controller, which acts as a gateway, should not cause any delay by decrypting and re-encrypting the packets, nor should it has any chance to modify them. Considering the required level of security and quality of service, we design our protocol with an Elliptic Curve Cryptography (ECC) approach. We improve and implement the Password Authenticated Key Exchange (PAKE) protocol in two steps. First, we propose an auxiliary mechanism that is an ECC version of PAKE, and then extend it to a multilayer consensus model. We reduce the number of hash functions to one, and utilize a primitive password shared between an appliance and HAN controller to construct four valid individual consensus and authenticated symmetric keys between the appliance and upstream controllers by exchanging only 12 packets. Security analysis presents that our protocol is resilient to various attacks. Furthermore, performance analysis shows that the delay caused by the security process is reduced by more than one half.

  • Smart Grid multilayer consensus password-authenticated key exchange protocol
    2012 IEEE International Conference on Communications (ICC), 2012
    Co-Authors: Hasen Nicanfar, Victor C. M. Leung
    Abstract:

    In this paper, we consider Smart Grid System demands on remote controlling a Smart appliance from up to the central controller layer, in a confidential fashion and immune from any in-between principles' intrusion. For instance, we need to remotely turn off a low-priority high-demand appliance in case of crisis and emergency, or manage a plug-in electric vehicles recharging. Hence a Home Area Network (HAN) controller should be prevented from superimposing or differing caused by decryption and re-encryption these packets. Comparing to X.1035 standard, we use only one hash function and utilize a primitive password between the appliance and HAN controller, and state four individual consensus password-authenticated symmetric key establishments between the appliance and upstream controllers during only 12 packets. We improve security process data delivery time by 50% to 75% while provide various attacks resilience like replay, off-line guessing, Denning-Sacco, compromised impression, ephemeral key compromise impression, unknown key-share and man in the middle.

Tamer Başar - One of the best experts on this subject based on the ideXlab platform.

  • a game theoretic approach to energy trading in the Smart Grid
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: Yunpeng Wang, Vincent Harold Poor, Walid Saad, Zhu Han, Tamer Başar
    Abstract:

    Electric storage units constitute a key element in the emerging Smart Grid System. In this paper, the interactions and energy trading decisions of a number of geographically distributed storage units are studied using a novel framework based on game theory. In particular, a noncooperative game is formulated between storage units, such as plug-in hybrid electric vehicles, or an array of batteries that are trading their stored energy. Here, each storage unit's owner can decide on the maximum amount of energy to sell in a local market so as to maximize a utility that reflects the tradeoff between the revenues from energy trading and the accompanying costs. Then in this energy exchange market between the storage units and the Smart Grid elements, the price at which energy is traded is determined via an auction mechanism. The game is shown to admit at least one Nash equilibrium and a novel algorithm that is guaranteed to reach such an equilibrium point is proposed. Simulation results show that the proposed approach yields significant performance improvements, in terms of the average utility per storage unit, reaching up to 130.2% compared to a conventional greedy approach.

  • a game theoretic approach to energy trading in the Smart Grid
    arXiv: Computer Science and Game Theory, 2013
    Co-Authors: Yunpeng Wang, Vincent Harold Poor, Walid Saad, Zhu Han, Tamer Başar
    Abstract:

    Electric storage units constitute a key element in the emerging Smart Grid System. In this paper, the interactions and energy trading decisions of a number of geographically distributed storage units are studied using a novel framework based on game theory. In particular, a noncooperative game is formulated between storage units, such as PHEVs, or an array of batteries that are trading their stored energy. Here, each storage unit's owner can decide on the maximum amount of energy to sell in a local market so as to maximize a utility that reflects the tradeoff between the revenues from energy trading and the accompanying costs. Then in this energy exchange market between the storage units and the Smart Grid elements, the price at which energy is traded is determined via an auction mechanism. The game is shown to admit at least one Nash equilibrium and a novel proposed algorithm that is guaranteed to reach such an equilibrium point is proposed. Simulation results show that the proposed approach yields significant performance improvements, in terms of the average utility per storage unit, reaching up to 130.2% compared to a conventional greedy approach.

  • A noncooperative game for double auction-based energy trading between PHEVs and distribution Grids
    2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011
    Co-Authors: Walid Saad, Vincent Harold Poor, Zhu Han, Tamer Başar
    Abstract:

    Plug-in hybrid electric vehicles (PHEVs) will constitute a key element in the emerging Smart Grid System. In this paper, the complex decision making processes of a number of PHEV groups seeking to sell part of their stored energy in a power market are studied using noncooperative games and double auctions. In particular, a noncooperative game is formulated between the PHEV groups. In this game, each PHEV group can make a decision on the maximum amount of energy surplus that it is willing to sell so as to maximize a utility function that captures the tradeoff between the economical benefits from energy trading and the associated costs. The trading price governing the energy exchange market between the PHEVs and the Smart Grid network is determined using a strategy-proof double auction. For solving the game, an algorithm based on best response dynamics is proposed using which the PHEV groups can reach a Nash equilibrium point. Simulation results show how our approach allows the PHEV groups to act strategically while improving the average utility achieved per PHEV group of up to 100.2% relative to a greedy algorithm.

Hasen Nicanfar - One of the best experts on this subject based on the ideXlab platform.

  • network coding based encryption System for advanced metering infrastructure
    International Conference on Computer Communications and Networks, 2013
    Co-Authors: Hasen Nicanfar, Amr Alasaad, Peyman Talebifard, Victor C. M. Leung
    Abstract:

    In a Smart Grid System, the metering data collected by Smart meters (SMs) and transferred via an Advanced Metering Infrastructure to the utility for billing purposes, and to the demand-response System to achieve cost effective resource allocation. The collected data at the SMs are sent to aggregators (AGRs), which in turn forward these data to a higher layer data collection System using secured communications. However, metering data are typically transferred between SMs and AGRs over wireless multi-hop communication networks. Due to the broadcast nature of wireless transmissions, the communications between a SM and AGR are susceptible to many security attacks. We argue that advanced network coding (NC) technology can be utilized to address this problem. We propose a novel System that supports data collection security at AGR by encrypting metering data transmitted between SMs and AGR using NC technology. Our innovative scheme eliminates the use of previously specified public key encryption System between SMs and AGR, which consequently makes our System very efficient. Analyses show that our proposed scheme enhances robustness and throughput of data routing in the wireless multi-hop network between SMs and AGR while maintaining a strong security.

  • multilayer consensus ecc based password authenticated key exchange mcepak protocol for Smart Grid System
    IEEE Transactions on Smart Grid, 2013
    Co-Authors: Hasen Nicanfar, Victor C. M. Leung
    Abstract:

    This paper aims at providing a key agreement protocol for Smart Grid to cope with access control of appliances/devices located inside a Home Area Network (HAN) by a set of controllers outside the HAN. The commands/packets initiated by the controllers in crisis cases should be delivered fast and immune from any interruption. The HAN controller, which acts as a gateway, should not cause any delay by decrypting and re-encrypting the packets, nor should it has any chance to modify them. Considering the required level of security and quality of service, we design our protocol with an Elliptic Curve Cryptography (ECC) approach. We improve and implement the Password Authenticated Key Exchange (PAKE) protocol in two steps. First, we propose an auxiliary mechanism that is an ECC version of PAKE, and then extend it to a multilayer consensus model. We reduce the number of hash functions to one, and utilize a primitive password shared between an appliance and HAN controller to construct four valid individual consensus and authenticated symmetric keys between the appliance and upstream controllers by exchanging only 12 packets. Security analysis presents that our protocol is resilient to various attacks. Furthermore, performance analysis shows that the delay caused by the security process is reduced by more than one half.

  • Smart Grid multilayer consensus password-authenticated key exchange protocol
    2012 IEEE International Conference on Communications (ICC), 2012
    Co-Authors: Hasen Nicanfar, Victor C. M. Leung
    Abstract:

    In this paper, we consider Smart Grid System demands on remote controlling a Smart appliance from up to the central controller layer, in a confidential fashion and immune from any in-between principles' intrusion. For instance, we need to remotely turn off a low-priority high-demand appliance in case of crisis and emergency, or manage a plug-in electric vehicles recharging. Hence a Home Area Network (HAN) controller should be prevented from superimposing or differing caused by decryption and re-encryption these packets. Comparing to X.1035 standard, we use only one hash function and utilize a primitive password between the appliance and HAN controller, and state four individual consensus password-authenticated symmetric key establishments between the appliance and upstream controllers during only 12 packets. We improve security process data delivery time by 50% to 75% while provide various attacks resilience like replay, off-line guessing, Denning-Sacco, compromised impression, ephemeral key compromise impression, unknown key-share and man in the middle.

Imane Worighi - One of the best experts on this subject based on the ideXlab platform.

  • integrating renewable energy in Smart Grid System architecture virtualization and analysis
    Sustainable Energy Grids and Networks, 2019
    Co-Authors: Imane Worighi, Abdelhakim Hafid, Omar Hegazy, Abdelilah Maach, Joeri Van Mierlo
    Abstract:

    Abstract Renewable energy sources (RESs) and energy storage Systems (ESSs) are the key technologies for Smart Grid applications and provide great opportunities to de-carbonize urban areas, regulate frequency, voltage deviations, and respond to severe time when the load exceeds the generation. Nevertheless, uncertainty and inherent intermittence of renewable power generation units impose severe stresses on power Systems. Energy storage Systems such as battery energy storage System enables the power Grid to improve acceptability of intermittent renewable energy generation. To do so, a successful coordination between renewable power generation units, ESSs and the Grid is required. Nonetheless, with the existing Grid architecture, achieving the aforementioned targets is intangible. In this regard, coupling renewable energy Systems with different generation characteristics and equipping the power Systems with the battery storage Systems require a smooth transition from the conventional power System to the Smart Grid. Indeed, this coordination requires not only robust but also innovative controls and models to promote the implementation of the next-generation Grid architecture. In this context, the present research proposes a Smart Grid architecture depicting a Smart Grid consisting of the main Grid and multiple embedded micro-Grids. Moreover, a focus has been given to micro-Grid Systems by proposing a “Micro-Grid Key Elements Model” (MKEM). The proposed model and architecture are tested and validated by virtualization. The implementation of the virtualized System integrates solar power generation units, battery energy storage Systems with the proposed Grid architecture. The virtualization of the proposed Grid architecture addresses issues related to Photovoltaic (PV) penetration, back-feeding, and irregularity of supply. The simulation results show the effect of Renewable Energy (RE) integration into the Grid and highlight the role of batteries that maintain the stability of the System.

Hao Tang - One of the best experts on this subject based on the ideXlab platform.

  • A Data-Driven Approach for Blockchain-Based Smart Grid System
    IEEE Access, 2021
    Co-Authors: Zeng Zeng, Meiya Dong, Weiwei Miao, Mingming Zhang, Hao Tang
    Abstract:

    The Smart Grid is emerging as a future paradigm for power networks. While it has many successful applications, peer-to-peer trading in the local energy market (LEM) is still challenging due to the lack of security and trading mechanisms. In this paper, we design a data-driven, secure, and Smart solution $DS^{2}$ to address this problem. We first propose a five-layer design of LEM based on blockchain. We then model peer-to-peer trading in LEM as a cost minimization problem and derive an efficient online solution leveraging matrix factorization and integer linear programming. $DS^{2}$ is implemented and evaluated on a private Ethereum blockchain. We show that $DS^{2}$ achieves a mean absolute percentage error (MAPE) of 12.8% compared with the offline optimal method through extensive simulations on the real-world dataset.